EP1517207A2 - Système informatisé de mesure des données de qualité et/ou de processus - Google Patents

Système informatisé de mesure des données de qualité et/ou de processus Download PDF

Info

Publication number
EP1517207A2
EP1517207A2 EP04104212A EP04104212A EP1517207A2 EP 1517207 A2 EP1517207 A2 EP 1517207A2 EP 04104212 A EP04104212 A EP 04104212A EP 04104212 A EP04104212 A EP 04104212A EP 1517207 A2 EP1517207 A2 EP 1517207A2
Authority
EP
European Patent Office
Prior art keywords
data
sensor
soft
use according
quality
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP04104212A
Other languages
German (de)
English (en)
Other versions
EP1517207A3 (fr
Inventor
Rudolf Münch
Niels Hardt
Florian Wegmann
Herbert Holik
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Voith Patent GmbH
Original Assignee
Voith Patent GmbH
Voith Paper Patent GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Voith Patent GmbH, Voith Paper Patent GmbH filed Critical Voith Patent GmbH
Publication of EP1517207A2 publication Critical patent/EP1517207A2/fr
Publication of EP1517207A3 publication Critical patent/EP1517207A3/fr
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0297—Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32187—Correlation between controlling parameters for influence on quality parameters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the invention relates to a system for computer-aided measurement of Quality and / or process data during production and / or finishing of material webs, in particular paper or board webs, by Correlation with raw measurement data.
  • the invention is therefore the object of the system for computer aided measurement of quality and / or process data of the according to the type mentioned further improve.
  • a system for computer-aided measurement of quality and / or process data in the production and / or finishing of webs, especially paper or board webs by correlation with raw measurement data, the raw measurement data in the form of many other quality or process data are available during the manufacturing or refining process, in the raw measurement data also measurements of quality parameters in the laboratory can be included, the raw measurement data can be summarized into data sets that were determined at the same time certain laboratory or quality measurements are selectable as target data, which can be calculated by means of at least one running in a computer-based operation and linking unit softsensor algorithm from the other data serving as input data, and wherein each record contains measurement data, which is approximately the same control volume or web Raw material, in particular paper or paper raw material relate.
  • the raw measurements are expediently given a time stamp.
  • a respective soft-sensor algorithm is advantageously by means of mathematical Method, e.g. using PCA, PLSR, SOM, fuzzy, neural Networks and / or the like, determinable.
  • Systems runs the soft-sensor algorithm in the computer-based Operations and linking unit each off, if at least one Condition for execution is met.
  • the result then as the desired measurement, in particular over at least a display and / or printer unit are output.
  • the pre-filtering of the data to each other is tunable, in particular taking into account the Accuracy with which the simultaneity of the records is known.
  • the data may consist of a moving average filter and be determined a predetermined window size.
  • the data will be for example, a moving average filter and a window size in the minutes range (e.g., 5 minutes).
  • the input data also includes data from other sections of the manufacturing process as the target data.
  • the target data may be from the process section rewinder the paper machine (e.g., roll-up quality data), and the input data may include but not limited to e.g. process data from other process sections upstream of the paper machine or to assist you, such as Paint kitchen, water treatment, stock preparation, Constant part, etc.
  • the system comprises at least one preferably soft-sensor determinable by a design tool.
  • Input data and target data from a database of historical data be extractable.
  • From the historical data are expediently at least two groups of records selectable, with a first Group one serving the calculation of the soft sensor algorithm Learning record and a second group one of the test of the calculated Softsensor algorithm serving test record with other data contains.
  • the learning record can still be grouped be subdivided by records that differ during the learning process Serve purposes.
  • the design tool is advantageous also verifiable, which input data does not correlate with the target data are, with the relevant input data from the learning record are eliminable.
  • Design tools can be checked, which input data in the learning record redundant are, preferably only input data used which improve the correlation with the target data.
  • the design tool can also be tested, which Input data in the learning record in a non-linear relationship with the target data, preferably the non-linear data are added to the learning record.
  • Design tools include the calculation formula of the soft-sensor algorithm determinable to the learning record.
  • the calculation formula of the softsensor algorithm Can be tested using the test data set.
  • Systems is the soft-sensor algorithm by repeated automatic
  • start the design tool or task automatically to slow changes in the manufacturing or refining process customizable, preferably data from a particular Time windows are reusable in the past.
  • the at least one soft sensor comprehensive system according to the invention in the manufacture and / or Refinement of webs, in particular paper or board webs.
  • At least one soft sensor of the system for checking used at least one real sensor.
  • two Soft sensors of the system used preferably by means of a Two-out-of-three rule to decide if a possible failure in one Soft sensor or in the scanner.
  • a first Soft sensor of the system e.g. Flow, consistency and / or the like headbox data
  • a second one Soft sensor of the system e.g. Flow, consistency and / or the like relevant data from a thick matter inflow.
  • For the prediction of the web thickness can advantageously at least also one of the available process variables to be used: Press settings, calender settings.
  • a corresponding alarm can be activated.
  • At least one soft sensor of the System is used to one or more real sensors in the case to replace a fault at least temporarily.
  • the respective replacement can be done automatically, in particular a real sensor preferably based on a two-out-of-three rule as disturbed ("hot backup").
  • a soft sensor of the system can also be real Sensor and another sensor, in particular soft sensor, checked and replaced if necessary.
  • the basis weight can be predicted with two soft sensors become. One of the soft sensors suddenly shows significantly different Values, this is an indication that one of the underlying Sensors is defective.
  • the error image be further restricted. For example, the function of a Flow meter with the measurement results of other flowmeters be checked (water balance). If the flowmeter is not the cause, so comes for the misconduct of the consistency transmitter into consideration. However, the consistency can also be derived from other process variables be determined (mass balance). In the end, it is possible with Help of other process variables, including the real basis weight sensor and a soft basis weight sensor, the consistency sensor replace and keep the rules that are pending.
  • the use is also particularly advantageous at least a soft sensor of the system for the non-proprietary calibration of a or several real sensors.
  • Real or real sensors can often only be used for a specific one Operating point or in a certain operating range of the machine be calibrated.
  • the paper moisture with a Accurately measure calibration only at a specific basis weight.
  • a humidity sensor For example, the basis weight, the type of fiber and / or the like be included.
  • the measurement of the dry content called, the better with a given spot in the drainage process
  • Softened sensor which is connected to the raw measurement channels (e.g. electromagnetic, radioactive absorptions) also process parameters such as. the fabric consistency in the headbox, fabric type, settings the drainage parameters, and / or the like with.
  • At least one Softsensors the system used instead of a respective real sensor as long as the real sensor is not ready for use.
  • Another advantage is the use of at least one soft sensor of the System to provide quality data during the manufacturing or refining process to measure, which are usually measurable only in the laboratory and / or online using real sensors more expensive and / or unreliable are measurable.
  • a respective soft sensor for example used to determine the porosity, printability, strength parameters and / or the like.
  • the expected quality data for the current measured quantities calculated using the calculation formula of the software sensor algorithm and monitored.
  • a warning signal may be generated for the machine operator and / or preferably predetermined by an automatic control Measures are taken.
  • the predefinable measures can, for example, a change of Process parameters include the cause of the deviation directly to fix. Alternatively or additionally, there is also a change of parameters from process steps conceivable to those for the deviation follow the responsible sub-process.
  • press setting For example, if the press setting is changed, so can be predicted how to change the vapor pressure to the impact to compensate for the final moisture.
  • An automatic regulation then can the press setting in the one desired by the operator Adjust the way and thus the setting of the dryer section in coordinated manner so that the final moisture is unaffected remains.
  • At least one soft sensor of the system according to the invention is at least one soft sensor of the system according to the invention together used with at least one mathematical optimization method, for optimal machine settings and / or process parameters determine.
  • At least one soft sensor of the inventive Systems are determined by a design tool, by means of the design tool recorded input data and target data from a database to be extracted with historical data and from the historical Data at least two groups of records are selected where a first group is one of the calculation of the soft-sensor algorithm serving study record and a second group one of the examination of the calculated soft-sensor algorithm serving test record with others Contains data.
  • machine settings and / or process parameters with regard to certain quality properties by means of at least a mathematical optimization method optimized.
  • a mathematical optimization method optimized is for example a minimization under constraints, a minimization multiple sizes (e.g., vector optimization) and / or the like.
  • At least one confirmatory test can be carried out for verification become.
  • Preference is given to the production or refining process to the optimized Machine settings or process parameters changed over.
  • Figure 1 shows a schematic representation of a purely exemplary embodiment of a system 10 for the computer-aided measurement of quality and / or process data in the manufacture and / or refinement of Material webs, which are in particular paper or board webs can act.
  • the system 10 includes a computer and operation and linking unit 12, on which runs a soft-sensor algorithm and in which Automation system is embedded.
  • the automation system may include a PLS, a QLS, a PLC and / or another rule PC include.
  • a separate computer 14 is provided, the one Database with historical process and quality data. These In principle, data must also be available on other units however, be accessible in the design of the soft-sensor algorithm.
  • QCS quality control systems
  • the system 10 again includes a computer and an operating and Linking unit 12.
  • An algorithm runs on this computer 12 comparing the soft sensors 18 with the QCS sensor 16 and at Deviations respond by e.g. the operator alerts and / or the defective sensor is switched off.
  • the computer 12 is again embedded in an automation system.
  • Figure 3 shows a schematic representation of an exemplary application of the inventive system 10 for location-independent calibration from sensors.
  • the system 10 again includes a computer and a surgical and Link unit 12. On this computer 12 becomes a soft sensor designed. The softsensor algorithm will then reference the firmware of the Sensors downloaded.
  • the computer 12 is again embedded in an automation system.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • General Factory Administration (AREA)
  • Paper (AREA)
EP04104212A 2003-09-16 2004-09-02 Système informatisé de mesure des données de qualité et/ou de processus Withdrawn EP1517207A3 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10342769A DE10342769A1 (de) 2003-09-16 2003-09-16 System zur computergestützten Messung von Qualitäts- und/oder Prozessdaten
DE10342769 2003-09-16

Publications (2)

Publication Number Publication Date
EP1517207A2 true EP1517207A2 (fr) 2005-03-23
EP1517207A3 EP1517207A3 (fr) 2009-10-21

Family

ID=34177780

Family Applications (1)

Application Number Title Priority Date Filing Date
EP04104212A Withdrawn EP1517207A3 (fr) 2003-09-16 2004-09-02 Système informatisé de mesure des données de qualité et/ou de processus

Country Status (3)

Country Link
US (1) US7437208B2 (fr)
EP (1) EP1517207A3 (fr)
DE (1) DE10342769A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007123817A1 (fr) * 2006-04-20 2007-11-01 Celanese International Corporation Procédé et dispositif destinés à optimiser la performance d'un contrôle avancé de procédé par commande par logique floue
WO2009010343A1 (fr) * 2007-07-18 2009-01-22 Voith Patent Gmbh Procédé et système de détection en ligne d'au moins une propriété d'extension d'une bande de papier ou de carton en mouvement
EP3278277A4 (fr) * 2015-03-30 2018-12-05 Uop Llc Système et procédé de nettoyage de données pour déduire une composition d'alimentation
CN110929425A (zh) * 2019-12-18 2020-03-27 广州博依特智能信息科技有限公司 一种基于Lasso算法的纸张纵向伸长率的软测量方法
WO2020064738A1 (fr) * 2018-09-25 2020-04-02 Andritz Technology And Asset Management Gmbh Procédé de détermination de la teneur en humidité d'une bande de pâte cellulosique
CN111027814A (zh) * 2019-11-19 2020-04-17 西安交通大学 一种实验室设备智能管理系统及其操作方法

Families Citing this family (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ITBO20040583A1 (it) * 2004-09-21 2004-12-21 Logomat S R L Procedimento di rilievo e gestione di guasti particolarmente per macchine industriali
FI119574B (fi) * 2004-11-12 2008-12-31 Metso Paper Inc Menetelmä ja järjestelmä paperikoneessa sekä ohjelmistotuote
US20070227447A1 (en) * 2006-04-04 2007-10-04 Honeywell International, Inc. Control of a coating process
US7930639B2 (en) 2007-09-26 2011-04-19 Rockwell Automation Technologies, Inc. Contextualization for historians in industrial systems
KR101057029B1 (ko) 2008-01-29 2011-08-17 주식회사 가온솔루션 센서네트워크 상황하에서의 데이터 손실 복원장치 및 방법
DE102008040688A1 (de) * 2008-07-24 2010-01-28 Voith Patent Gmbh Verfahren zur Optimierung der Energiebilanz in Formiereinheiten in Maschinen zur Herstellung von Faserstoffbahnen und Formiereinheit
DE102008041313A1 (de) * 2008-08-18 2010-02-25 Voith Patent Gmbh Leitsystem für Anlagen zur Papier-und/oder Tissue-und/oder Karton-und/oder Verpackungsherstellung
FI126614B (fi) 2009-04-07 2017-03-15 Valmet Automation Oy Paperin, kartongin tai pahvin ominaisuuden mallintaminen
US20140257752A1 (en) * 2013-03-11 2014-09-11 Timothy Andrew Mast Analyzing measurement sensors based on self-generated calibration reports
US9264162B2 (en) 2013-05-23 2016-02-16 Honeywell Limited Wireless position-time synchronization for scanning sensor devices
CN104637555B (zh) * 2014-09-12 2017-08-04 中广核工程有限公司 基于核电站机组智能监控方法和系统
CN104536290A (zh) * 2014-11-05 2015-04-22 浙江大学 基于核主元分析与径向基神经网络的软测量方法及系统
DE102015213709B4 (de) * 2015-07-21 2017-09-21 Achenbach Buschhütten GmbH & Co. KG Verfahren zur Bereitstellung eines längenbezogenen Materialbahndatensatzes einer zu einem Coil gewickelten Materialbahn
DE112016005697T5 (de) * 2016-01-15 2018-09-06 Mitsubishi Electric Corporation Vorrichtung, Verfahren und Programm zur Planerzeugung
EP3525055A1 (fr) * 2018-02-12 2019-08-14 Siemens Aktiengesellschaft Système de diagnostic avec un capteur virtuel
DE102018124001A1 (de) * 2018-09-28 2019-08-29 Voith Patent Gmbh Messung von Qualitätsparametern
WO2021019551A1 (fr) * 2019-07-26 2021-02-04 Tata Consultancy Services Limited Système et procédé d'optimisation automatique en temps réel d'opérations de fabrication
EP3786637A1 (fr) * 2019-08-28 2021-03-03 Siemens Aktiengesellschaft Procédé, système et machine de production de carton pour estimer des paramètres de qualité de carton
CN115262267B (zh) * 2020-05-25 2024-07-30 东莞金洲纸业有限公司 制浆造纸设备调节阀的逻辑控制方法
US12117783B2 (en) 2020-10-15 2024-10-15 Abb Schweiz Ag Online frequently derived measurements for process monitoring, control and optimization
CN112695561A (zh) * 2020-12-25 2021-04-23 东莞顺裕纸业有限公司 一种改进制浆配浆工艺的使用废纸再造瓦楞芯纸的生产方法
CN113457540B (zh) * 2021-06-30 2022-10-04 重庆花喜鹊科技有限公司 一种用于烧结混合料的智能控水系统及方法
CN118974672A (zh) * 2022-03-24 2024-11-15 巴克曼实验室国际公司 用于关于在线传感器的追溯和自动验证或校正动作的系统和方法
DE102024118030A1 (de) * 2024-06-26 2025-12-31 Voith Patent Gmbh System, Verfahren und Computerprogrammprodukt

Family Cites Families (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FI80100C (fi) * 1986-12-18 1990-04-10 Valmet Oy Foerfarande vid styrning och/eller oevervakning av en belaeggningsprocess av en bana.
US5461570A (en) * 1994-06-10 1995-10-24 Johnson & Johnson Vision Products, Inc. Computer system for quality control correlations
US5532941A (en) * 1994-07-08 1996-07-02 Lin; Lawrence I. Inter-laboratory performance monitoring system
DE19653477C2 (de) * 1996-12-20 1999-04-22 Siemens Ag Verfahren und Vorrichtung zur Prozeßführung bei der Herstellung von Papier
SE9703758D0 (sv) * 1997-10-15 1997-10-15 Asea Brown Boveri Metod och förfarande för processkontroll vid tillverkning av papper, massa eller board
DE19913926A1 (de) * 1999-03-26 2000-09-28 Voith Sulzer Papiertech Patent Verfahren zur Herstellung, insbesondere zur Beeinflussung von Qualitätseigenschaften, einer Materialbahn
FI19991793L (fi) * 1999-08-23 2001-02-24 Andritz Ahlstrom Oy Menetelmä paperikoneen tai vastaavan lähestymisjärjestelmän toiminnan ohjaamiseksi
US6243615B1 (en) * 1999-09-09 2001-06-05 Aegis Analytical Corporation System for analyzing and improving pharmaceutical and other capital-intensive manufacturing processes
US6445963B1 (en) * 1999-10-04 2002-09-03 Fisher Rosemount Systems, Inc. Integrated advanced control blocks in process control systems
SE515570C2 (sv) * 1999-10-05 2001-09-03 Abb Ab Ett datorbaserat förfarande och system för reglering av en industriell process
AU2001247336B2 (en) * 2000-03-10 2006-02-02 Smiths Detection, Inc. Control for an industrial process using one or more multidimensional variables
US6826521B1 (en) * 2000-04-06 2004-11-30 Abb Automation Inc. System and methodology and adaptive, linear model predictive control based on rigorous, nonlinear process model
US6684115B1 (en) * 2000-04-11 2004-01-27 George Shu-Xing Cheng Model-free adaptive control of quality variables
FI108801B (fi) * 2000-08-24 2002-03-28 Metso Paper Inc Menetelmä yhden tai useamman kuituradan pinnan laatusuureen säätämiseksi kenkäkalanterissa
US6556939B1 (en) * 2000-11-22 2003-04-29 Smartsignal Corporation Inferential signal generator for instrumented equipment and processes
DE10122318B4 (de) * 2001-05-08 2006-01-05 Q-DAS Gesellschaft für Datenverarbeitung und Systemtechnik mbH Verfahren und Vorrichtung zur Berechnung von Qualitätsfähigkeitskenngrößen
US20040199368A1 (en) * 2001-05-24 2004-10-07 Simmonds Precision Products, Inc. Poor data quality identification
GB0113627D0 (en) * 2001-06-05 2001-07-25 Univ Stirling Controller and method of controlling an apparatus
GB2379752A (en) * 2001-06-05 2003-03-19 Abb Ab Root cause analysis under conditions of uncertainty
US6651030B2 (en) * 2001-06-22 2003-11-18 Invensys Systems Inc. Method and system for collecting and retrieving time-series, real-time and non-real-time data
WO2003023687A2 (fr) * 2001-09-12 2003-03-20 Aegis Analytical Corporation Procede perfectionne destine a analyser le profil de donnees continues
TWI328164B (en) * 2002-05-29 2010-08-01 Tokyo Electron Ltd Method and apparatus for monitoring tool performance
EP1543392A1 (fr) * 2002-06-28 2005-06-22 Umetrics AB Procede et appareil permettant de surveiller et de detecter des incidents dans des procedes industriels
JP4685446B2 (ja) * 2002-08-20 2011-05-18 東京エレクトロン株式会社 データコンテキストに基づいてデータを処理する方法
EP1546827A1 (fr) * 2002-09-30 2005-06-29 Tokyo Electron Limited Procede et appareil permettant de surveiller et de commander un procede de fabrication de semi-conducteurs
US7146231B2 (en) * 2002-10-22 2006-12-05 Fisher-Rosemount Systems, Inc.. Smart process modules and objects in process plants
US20040256069A1 (en) * 2003-06-18 2004-12-23 Saucedo Victor M. Estimation and control in the wet end using CO2

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007123817A1 (fr) * 2006-04-20 2007-11-01 Celanese International Corporation Procédé et dispositif destinés à optimiser la performance d'un contrôle avancé de procédé par commande par logique floue
WO2009010343A1 (fr) * 2007-07-18 2009-01-22 Voith Patent Gmbh Procédé et système de détection en ligne d'au moins une propriété d'extension d'une bande de papier ou de carton en mouvement
EP3278277A4 (fr) * 2015-03-30 2018-12-05 Uop Llc Système et procédé de nettoyage de données pour déduire une composition d'alimentation
WO2020064738A1 (fr) * 2018-09-25 2020-04-02 Andritz Technology And Asset Management Gmbh Procédé de détermination de la teneur en humidité d'une bande de pâte cellulosique
CN112805437A (zh) * 2018-09-25 2021-05-14 安德里茨技术资产管理有限公司 确定纤维素纸浆的幅材的水分含量的方法
CN112805437B (zh) * 2018-09-25 2023-05-09 安德里茨技术资产管理有限公司 确定纤维素纸浆的幅材的水分含量的方法
US11802374B2 (en) 2018-09-25 2023-10-31 Andritz Technology And Asset Management Gmbh Method of determining the moisture content of a web of cellulose pulp
CN111027814A (zh) * 2019-11-19 2020-04-17 西安交通大学 一种实验室设备智能管理系统及其操作方法
CN110929425A (zh) * 2019-12-18 2020-03-27 广州博依特智能信息科技有限公司 一种基于Lasso算法的纸张纵向伸长率的软测量方法
CN110929425B (zh) * 2019-12-18 2023-08-11 广州博依特智能信息科技有限公司 一种基于Lasso算法的纸张纵向伸长率的软测量方法

Also Published As

Publication number Publication date
US7437208B2 (en) 2008-10-14
US20050145357A1 (en) 2005-07-07
EP1517207A3 (fr) 2009-10-21
DE10342769A1 (de) 2005-04-21

Similar Documents

Publication Publication Date Title
EP1517207A2 (fr) Système informatisé de mesure des données de qualité et/ou de processus
EP4217806B1 (fr) Contrôle qualité pour produits fabriqués en série
DE60032377T2 (de) Verfahren und system zur computerbasierten steuerung eines industriellen prozesses
DE102008035639A1 (de) Verfahren zur Modellierung eines Regelkreises für eine Bearbeitungsmaschine
EP0894895B1 (fr) Procédé et dispositif de détection et de correction des changements du profil transversal d'orientation des fibres
DE69713600T2 (de) System zur überwachung und diagnose von automatischen regelschleifen
EP3075906A1 (fr) Installation d'impregnation et son procede de surveillance
AT502431B1 (de) Verfahren und system zur durchführung und verwendung von belastungsmessungen zur wartung von maschinenkomponenten und -vorrichtungen in bezug auf papierherstellung
EP0803011B1 (fr) Procede et dispositif pour determiner l'effet du reglage d'actionneurs
DE102022207326B4 (de) Verfahren und Vorrichtung zum Überwachen eines Hydrauliksystems auf Eintrag von Fremdfluiden
DE19913926A1 (de) Verfahren zur Herstellung, insbesondere zur Beeinflussung von Qualitätseigenschaften, einer Materialbahn
DE102005049896B4 (de) Verfahren zur Überwachung und Analyse des Druckprozesses einer Druckmaschine
DE60030588T2 (de) Verfahren zum kalandern
WO2017114592A1 (fr) Dispositif pour contrôler la réactivité d'un capteur en tenant compte du nouvel état
EP1161595A1 (fr) Procede permettant d'actionner une machine pour produire et/ou fa onner des bandes de materiau
EP4356209B1 (fr) Surveillance de la production de panneaux de matériau, en particulier de panneaux en matériau dérivé du bois, en particulier à l'aide d'une carte auto-organisatrice
WO1999041650A1 (fr) Procede pour etablir des diagnostics concernant des processus et des installations
EP1614801B1 (fr) Machine pour fabriquer une bande de matière fibreuse
DE10253822A1 (de) Verfahren und Vorrichtung zur automatischen Sensorkalibrierung
WO2018041581A1 (fr) Procédé de commande d'une machine de fabrication de bande de matière fibreuse
DE60223491T2 (de) Verfahren und System zur Steuerung der Papierformation
EP1255103A1 (fr) Méthode et appareil pour calibrer des senseurs de masse spécifique
DE102020206986A1 (de) Verfahren zum Ermitteln einer Nässeinformation einer Umgebung eines Kraftfahrzeugs
DE10043142A1 (de) Verfahren und Vorrichtung zur Regelung eines stoffdichtegeregelten Stoffauflaufs
EP3783448A1 (fr) Procédé de tester d'un processus de production destiné à la fabrication de composants

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL HR LT LV MK

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: VOITH PATENT GMBH

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL HR LT LV MK

RIC1 Information provided on ipc code assigned before grant

Ipc: G05B 23/02 20060101ALI20090914BHEP

Ipc: G05B 19/418 20060101AFI20041118BHEP

17P Request for examination filed

Effective date: 20100421

AKX Designation fees paid

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PL PT RO SE SI SK TR

17Q First examination report despatched

Effective date: 20100622

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20140105